saeHB
Small Area Estimation using Hierarchical Bayesian Method
Provides several functions for area level of small area estimation using hierarchical Bayesian (HB) methods with several univariate distributions for variables of interest. The dataset that is used in every function is generated accordingly in the Example. The 'rjags' package is employed to obtain parameter estimates. Model-based estimators involve the HB estimators which include the mean and the variation of mean. For the reference, see Rao and Molina (2015) <doi:10.1002/9781118735855>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.3 |
rolling linux/jammy R-4.5 | saeHB_0.2.3.tar.gz |
232.5 KiB |
0.2.3 |
rolling linux/noble R-4.5 | saeHB_0.2.3.tar.gz |
232.7 KiB |
0.2.3 |
rolling source/ R- | saeHB_0.2.3.tar.gz |
27.6 KiB |
0.2.3 |
latest linux/jammy R-4.5 | saeHB_0.2.3.tar.gz |
232.5 KiB |
0.2.3 |
latest linux/noble R-4.5 | saeHB_0.2.3.tar.gz |
232.7 KiB |
0.2.3 |
latest source/ R- | saeHB_0.2.3.tar.gz |
27.6 KiB |
0.2.3 |
2026-04-26 source/ R- | saeHB_0.2.3.tar.gz |
27.6 KiB |
0.2.3 |
2026-04-23 source/ R- | saeHB_0.2.3.tar.gz |
27.6 KiB |
0.2.3 |
2026-04-09 windows/windows R-4.5 | saeHB_0.2.3.zip |
235.4 KiB |
0.2.2 |
2025-04-20 source/ R- | saeHB_0.2.2.tar.gz |
23.1 KiB |